Publications by department

Publications by department

Avdeling: SAND
Periode: 2022 - 2022

    Academic journal articles

    2022

    Almendral Vazquez, Ariel; Dahle, Pål; Abrahamsen, Petter; Sektnan, Audun. Conditioning geological surfaces to horizontal wells. Computational Geosciences (ISSN 1420-0597). doi: 10.1007/s10596-022-10154-6. 2022.

    Kjønsberg, Heidi; Hauge, Ragnar; Ndingwan, Abel Onana. Time-lapse Bayesian AVO inversion applied to the Edvard Grieg field in the North Sea. SEG technical program expanded abstracts (ISSN 1949-4645). doi: 10.1190/image2022-3745774.1. 2022.

    Academic chapters

    2022

    Sektnan, Audun; Almendral Vazquez, Ariel; Hauge, Ragnar; Aarnes, Ingrid; Skauvold, Jacob; Vevle, Markus Lund. A Tree Representation of Plurigaussian Truncation Rules. In: Proceedings of the European Conference on the Mathematics of Geological Reservoirs (ECMOR 2022). (ISBN 0-000-00001-9). doi: 10.3997/2214-4609.202244066. 2022.

    Academic lectures

    2022

    Aarnes, Ingrid; Hauge, Ragnar; Arguello Scotti, Agustin; Skauvold, Jacob. The Geopard project. Konferanse, Production Geoscience; Stavanger, 01.11.2022 - 02.11.2022.

    Arguello Scotti, Agustin; Aarnes, Ingrid; Eide, Christian Haug; Skauvold, Jacob; Hauge, Ragnar. Testing a rule-based approach for reservoir modelling of shoreface successions: the GEOPARD algorithm. Arrangement, British Sedimentological Research Group 61st Annual Meeting; National Oceanography Centre, Southampton, 06.12.2022 - 08.12.2022.

    Arguello Scotti, Agustin; Eide, Christian Haug; Aarnes, Ingrid; Skauvold, Jacob; Hauge, Ragnar. Defining the basic rules that describe long-term shoreface dynamics: A process-mimicking approach for reservoir modelling. Arrangement, EGU General Assembly 2022; Vienna, Austria, 23.05.2022 - 27.05.2022.

    Kolbjørnsen, Odd; Sanchis, Charlotte Juliette. Sample free inference for Bayesian inverse problems, a local approximation. Konferanse, CMStatistics 2022; London, 17.12.2022 - 19.12.2022.

    Oakley, David Owen Smith; Cardozo, Nestor; Røe, Per; Almendral Vazquez, Ariel. Structural Geologic Modelling and Restoration Using the Ensemble Kalman Filter. Konferanse, EGU General Assembly 2022; Vienna, 23.05.2022 - 27.05.2022.

    Scientific lectures

    2022

    Aarnes, Ingrid; Hauge, Ragnar. Modelling fluvial environments. Arrangement, Geomodelling workshop; Stavanger, 03.11.2022.

    Mandeville, Caitlin; Koch, Wouter; Sicacha Parada, Jorge Armando; Mostert, Philip Stanley; Adjei, Kwaku Peprah. Sharing, Accessing, and Working with Open Citizen Science Data on the Global Biodiversity Information Facility. Arrangement, Engaging Citizen Science Conference; Århus, 25.04.2022 - 26.04.2022.

    Ovanger, Oscar; Eidsvik, Jo; Skauvold, Jacob; Hauge, Ragnar; Aarnes, Ingrid. A rule-based reservoir stacking model with effective well conditioning. Arrangement, IAMG 2022 21st annual conference; Nancy, Frankrike, 29.08.2022 - 03.09.2022.

    Reports

    2022

    Aarnes, Ingrid. Valhall Phase 3 - Decompaction and model update. Norsk Regnesentral, . NR-notat SAND/02/22. pp 66. 2022.

    Aker, Eyvind; Barker, Daniel Martin L; Fjeldstad, Torstein Mæland; Hauge, Ragnar; Kjønsberg, Heidi; Nilsen, Carl-Inge Colombo; Røe, Per; Sanchis, Charlotte Juliette; Abrahamsen, Petter. GIG annual meeting 2022 - Summary of 2021 and planned work for 2022. Norsk Regnesentral, Oslo. NR-notat SAND/01/22. pp 49. 2022.

    Barker, Daniel Martin L. MAP estimate of elastic parameters. Norsk Regnesentral, . NR-notat SAND/05/22. pp 12. 2022.

    Barker, Daniel Martin L. Exact single trace inversion. Norsk Regnesentral, . NR-notat SAND/03/22. pp 21. 2022.

    Eikvil, Line; Waldeland, Anders U.; Barker, Daniel Martin L; Holden, Marit; Hauge, Ragnar; Salberg, Arnt Børre. Deep learning in seismic interpretation, Development and experiments 2021-2022. Norsk Regnesentral, . NR-notat SAMBA/46/22. pp 28. 2022.

    Fjeldstad, Torstein Mæland; Lilleborge, Marie; Nilsen, Carl-Inge Colombo; Sanchis, Charlotte Juliette; Hauge, Ragnar. Seismic Tiles with application to 4D. Norsk Regnesentral, . NR-notat SAND/07/22. pp 62. 2022.

    Fjeldstad, Torstein Mæland. PCube Hybrid. Norsk Regnesentral, . NR-notat SAND/04/22. pp 26. 2022.

    Kjønsberg, Heidi; Fjeldstad, Torstein Mæland; Hauge, Ragnar. Estimate Reservoir Properties. Norsk Regnesentral, . NR-notat SAND/08/22. pp 15. 2022.

    Sanchis, Charlotte Juliette; Hauge, Ragnar. PCube+ likelihood approximation outside the window: Reduced Gaussian mixture. Norsk Regnesentral, . NR-notat SAND/06/22. pp 33. 2022.

    Media contributions

    2022

    Fjeldstad, Torstein Mæland; Løland, Anders. Norsk Regnesentral: 99,9 prosent sannsynlig at Brann rykker opp. 2022. Bergens Tidende [Newspaper] 10.08.2022.

    Fjeldstad, Torstein Mæland; Løland, Anders. Så stor er sjansen for at Start rykker opp: – Vi kan vinne alle kampene. 2022. Fædrelandsvennen [Newspaper] 09.09.2022.

    Fjeldstad, Torstein Mæland; Løland, Anders. Tallknusere om FKHs sjanser: – Ser veldig lovende ut. 2022. h-avis.no [Internet] 15.10.2022.

    Fjeldstad, Torstein Mæland; Løland, Anders. Tallknuserne mener håpet i praksis er ute for KBK. 2022. Tidenes Krav [Newspaper] 07.09.2022.

    Fjeldstad, Torstein Mæland; Løland, Anders. Tallknusernes dom: Disse tar medalje og disse rykker ned. 2022. nrk.no [Internet] 02.04.2022.

    Fjeldstad, Torstein Mæland; Løland, Anders. Tallknuserne uenige om Liverpools tittelsjanser. 2022. tv2.no [Internet] 22.05.2022.